Reflection Analytics

Time Period: Week 4 (Jan 30 - Feb 2)

This notebook is based on the csv extracted from Quercus from individual "Reflections" pages, by clicking on the "Student Analysis" tab. All student personal data has been removed, and the notebook only deals with aggregated groups (i.e. lecture assigned, engineering discipline).

Data Sources

General sources (kept between weeks in class_data folder):

Raw data week3_raw.csv is coming from Student Analytics in Quercus.

Summary of Analysis

This notebook is broken into the following sub-sections:

  1. Student Attendance
  2. Student Progress Check
  3. Comfort with Topics from Week 4
  4. Analysis of single-word and long-answer responses (sentiment analysis).
  5. Analysis of Topics Students are confused with.

1. Student Attendence During Current Week

One note: these percentages are based on the students who answered the survey!

To interpret plot above, the number of students present can be found by summing assigned + not assigned students. For example, Beck's lecture had 113 + 9 = 122 unique students attending last week.

**Note: There was no design problem in week 4, instead there was a midterm review

Student Course Progress Check

Individual Topics Covered During the Week

Word Cloud: Single Word for How Students are Feeling

Sentiment Analysis: Look at "One Comment" Responses from Students

In general, the polarity is quite neutral, slightly on positive side (mean is 0.01). The maximum polarity is also 2x greater than the most negative polarity.

List of Topics Students are Confused With